{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["victim", "attack pattern", "damage amount", "payment method", "place", "attacker", "time", "price"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "vulnerable system owner", "common vulnerabilities and exposures", "vulnerable system version", "vulnerable system", "discoverer", "vulnerability", "capabilities"]}, {"event_type": "data breach", "trigger": true, "arguments": ["attacker", "purpose", "compromised data", "number of victim", "time", "number of data", "victim", "tool", "attack pattern", "damage amount"]}, {"event_type": "phishing", "trigger": true, "arguments": ["victim", "tool", "time", "attacker", "place", "purpose", "attack pattern", "trusted entity", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "supported platform", "issues addressed", "vulnerable system", "patch number", "vulnerability", "common vulnerabilities and exposures"]}], "input": "\" Furthermore phishing scams via social media messages are also markedly more detailed and sophisticated than the average phishing e-mail ."}
{"ransom": [], "discover vulnerability": [], "data breach": [], "phishing": [{"trigger": "phishing scams", "arguments": {"victim": "NAN", "tool": "phishing e-mail", "time": "NAN", "attacker": "NAN", "place": "NAN", "purpose": "NAN", "attack pattern": "via social media messages", "trusted entity": "NAN", "damage amount": "NAN"}}], "patch vulnerability": []}